Approximation algorithms, Part 2
This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefinite programming applied to Maxcut.
By taking the two parts of this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques. Upon completion, you will be able to recognize, when faced with a new combinatorial optimization problem, whether it is close to one of a few known basic problems, and will be able to design linear programming relaxations and use randomized rounding to attempt to solve your own problem. The course content and in particular the homework is of a theoretical nature without any programming assignments.
This is the second of a two-part course on Approximation Algorithms.

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Start instantly and learn at your own schedule.

Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.

Hours to complete

Approx. 13 hours to complete

Suggested: 9 hours/week...

Available languages

English

Subtitles: English

100% online

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.

Hours to complete

Approx. 13 hours to complete

Suggested: 9 hours/week...

Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week

1

Hours to complete

6 hours to complete

Linear Programming Duality

This module does not study any specific combinatorial optimization problem. Instead, it introduces a central feature of linear programming, duality....

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Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.